A New Strategy to the Joint Production Scheduling and Maintenance Planning Under Unconventional Constraints

Fayçal BELKAID¹, Zaki SARI²

^1,2Manufacturing Engineering Laboratory of Tlemcen University of Tlemcen, Algeria

Abstract

Since jobs scheduling becomes subject to both renewable and non-renewable resources at the same time and the production systems are characterised by random machine failures, multiple production criteria and the presence of uncertain events, selecting the most appropriate jobs to be executed and the optimal intervention date of maintenance actions becomes a critical issue and has a high impact on the system performance. In this context, this paper deals with the joint consideration of production scheduling and maintenance planning, in parallel machine environment under the resources constraints. We propose a new resolution strategy which allows the decision maker to find compromise solutions between the two services. The integrated strategy consists to establish an optimal number of preventive maintenance interventions in order to maximize the productivity of the system and to minimize the system unavailability. The simulation results show that the proposed integrated strategy improve the profitability and the performances of the system.

Keywords

• Production scheduling, maintenance planning, integrated model, optimization, genetic algorithm

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Cite this Article as Follows

Fayçal BELKAID, Zaki SARI. A New Strategy to the Joint Production Scheduling and Maintenance Planning Under Unconventional Constraints. International Conference on Human Machine Interaction 2014. Vol. 1. Chennai: Association of Scientists, Developers and Faculties, 2014. 12-17. Print.